R code and sample data for the parallel implementation of the Kernel MNL model

Published: 3 May 2019 | Version 1 | DOI: 10.17632/bzpzjn85pb.1
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Description of this data

This code allows parallel estimation and parallel prediction of kernel Multinomial Logit Model. In this code, we use a subset (5000 observations) of the data used in this paper.

Experiment data files

This data is associated with the following publication:

Arriving at a decision: A semi-parametric approach to institutional birth choice in India

Published in: Journal of Choice Modelling

Latest version

  • Version 1

    2019-05-03

    Published: 2019-05-03

    DOI: 10.17632/bzpzjn85pb.1

    Cite this dataset

    Bansal, Prateek (2019), “R code and sample data for the parallel implementation of the Kernel MNL model”, Mendeley Data, v1 http://dx.doi.org/10.17632/bzpzjn85pb.1

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Categories

Statistics, Semiparametric Regression Model

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The files associated with this dataset are licensed under a Public Domain Dedication licence.

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You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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